Population Structure & Evolution Analysis

Why Population Structure & Evolution Analysis Matters

Understanding how populations are organised and how they change over time is a central goal in population genetics and evolutionary biology. These insights help researchers answer questions about species origins, genetic diversity, and adaptation.

In research fields such as conservation biology, crop improvement, and animal breeding, knowing the structure and history of populations can:

Reveal genetic diversity patterns and highlight unique subpopulations
Identify migration events and historical connections between groups
Detect signals of natural or artificial selection that shape traits

Our platform integrates high-throughput sequencing with advanced bioinformatics pipelines to deliver accurate, publication-ready results. Whether your study focuses on wild populations, domesticated breeds, or model organisms, we provide the data and analysis you need to:

Map genetic differences across populations
Reconstruct population histories and evolutionary trajectories
Support informed decisions in research, conservation, and breeding programs

Applications

Population structure and evolutionary analysis supports a wide range of research areas. By combining genomic data with statistical models, researchers can address fundamental questions about biodiversity, adaptation, and breeding.

Key applications include:

Population divergence analysis for conservation management

Identify genetic differences between populations to guide species protection and management strategies.

Domestication studies to identify beneficial traits

Detect genomic changes that occurred during domestication to pinpoint valuable characteristics for breeding.

Genetic diversity assessment to inform breeding strategies

Measure diversity levels to maintain healthy gene pools and avoid inbreeding in agricultural or aquaculture programs.

Selection sweep detection for adaptive evolution

Locate genomic regions under strong selection to understand how populations adapt to environmental pressures.

Demographic history reconstruction for understanding past events

Rebuild population size changes, migrations, and bottlenecks to reveal historical processes shaping genetic variation.

Our Workflow

Our service provides a complete, end-to-end process — from defining research goals to delivering analysis-ready results. Each step is designed to maintain data quality and scientific accuracy.

Consultation – Discuss project objectives, sample type, and choose the most suitable sequencing and analysis strategy.

Sample QC – Perform rigorous quality control to ensure high-quality DNA data from the very beginning.

Sequencing – Apply the optimal method for your research, including whole genome sequencing (WGS), genotyping-by-sequencing (GBS), RAD-seq, or targeted approaches.

Bioinformatics – Analyse data using population genetics tools such as PCA, Admixture, TreeMix, and F_ST calculations.

Reporting – Deliver publication-ready figures, tables, and detailed interpretations tailored to your research questions.

Follow-up – Provide post-analysis support to help you integrate results into publications or downstream studies.

Bioinformatics Analysis Services

Explore More Bioinformatics Analysis Service

Our analysis modules can be used individually or combined into a complete population genetics study. Each service is customisable to match your research goals.

Population Structure Analysis – Identify clusters and subpopulations

Use model-based and multivariate methods to reveal genetic groupings within populations.

Phylogenetic Analysis – Reconstruct evolutionary relationships

Build evolutionary trees to visualise species or population relatedness over time.

Principal Component Analysis (PCA) – Reduce complexity, highlight trends

Transform genomic variation into clear visual patterns for easier interpretation.

Admixture Analysis – Detect genetic mixing between populations

Estimate ancestral contributions and identify hybridisation events.

Demographic History Reconstruction – Trace past population events

Infer historical population sizes, splits, and migration patterns.

Selection Sweep Detection – Find genomic regions under selection

Locate and characterise genomic regions shaped by natural or artificial selection.

Related Sequencing Services

Direct Access Sequencing

We provide multiple sequencing options to generate high-quality genomic data for population structure and evolutionary studies

DNA Methylation Microarray for Population Genetics – Epigenetic insights across groups

Analyse DNA methylation patterns to explore epigenetic variation within and between populations.

Pan Genome Sequencing Service – Capture core and variable genes

Identify shared and unique genomic elements across multiple individuals or strains.

Ancient DNA Sequencing Service – Study past populations and species

Recover and sequence degraded DNA from historical or archaeological samples.

Reduced-Representation Sequencing – Cost-effective variant discovery

Generate genome-wide SNP data using targeted sequencing of reduced genomic regions.

ddRAD-seq Service – Double-digest RAD-seq for efficient SNP discovery in multiple species.
2b-RADseq Service – Enzyme-based RAD method for fast and low-cost genotyping.
RAD-seq Service – Single-digest RAD-seq for high-resolution population studies.
Genotyping By Sequencing (GBS) Service – Simplified library prep for high-throughput SNP genotyping.

Whole Genome Re-sequencing for Population Genetics – Comprehensive variant detection

Sequence entire genomes to detect SNPs, indels, and structural variants across populations.

Deliverables

At the end of your project, you will receive a complete package of data and results, ready for publication or further research.

Raw sequencing data (FASTQ) – Quality-checked files for all samples.

QC reports – Detailed summaries of data quality metrics and sequencing performance.

Population structure plots – Visual outputs such as PCA plots, admixture barplots, and phylogenetic trees.

Interactive visualisations (optional) – Dynamic charts and network diagrams for in-depth data exploration.

Summary interpretation and recommendations – Clear explanations of findings with suggested next steps.

Our Service Advantages

We combine advanced sequencing platforms with tailored bioinformatics pipelines to deliver results that are both scientifically rigorous and ready for publication.

Integrated Sequencing & Analysis – One-stop solution from raw data generation to final interpretation, reducing project complexity and turnaround time.

Customised for Your Species & Data – Workflows optimised for humans, plants, animals, and non-model organisms.

High-Resolution Insights – Detect subtle population structures and evolutionary signals even in complex datasets.

Multi-Platform Capability – Access to Illumina, Oxford Nanopore, and other sequencing technologies for maximum flexibility.

Expert Bioinformatics Support – Dedicated population genetics specialists to guide analysis design and interpretation.

Publication-Ready Deliverables – Clean, well-annotated datasets and figures tailored to meet journal requirements.

* Designed for biological research and industrial applications, not intended for individual clinical or medical purposes.